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Comparison of linear distributed-parameter filters to lumped approximants

✍ Scribed by D. J. Cooper; W. F. Ramirez; D. E. Clough

Publisher
American Institute of Chemical Engineers
Year
1986
Tongue
English
Weight
851 KB
Volume
32
Category
Article
ISSN
0001-1541

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✦ Synopsis

Comparison of Linear Distributed-Parameter Filters to Lumped Approximants

Optimal distributed-parameter filters are commonly implemented using approximating lumped Kalman filtering theory. The effect of such an approximation is investigated. A theoretical development shows that there is a loss in the spatial noise correlation for the lumped approximants. Two numerical examples of engineering significance illustrate that one result of this loss is slower filter convergence for the lumped approximants relative to the full distributed-parameter filters.

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